DPABI/DPABISurf/DPARSF

Dear DPARSF experts

Hi everyone

I found there are many black points scattering on the pictures for checking normalization (see below). No such points were found in the FunImg data. I don't know these black points means voxels lost or some other meaning. The preprocessing steps include: slice timing, realign, bet, T1 coreg to FUN, new segment+DARTEL, Covariates Regression, Filter, Normalize by DARTEL.

Dear all,

I cannot figure out precise meaning of some files in the folder of FunImgRWSCovs, such as ROICorrelation_subjn.txt, ROICorrelation_FisherZ_subjn.txt. 

Dear DPARSF users

I try to use DPARSF for my rest data but I face the following error which is related to Mask. I also chose NO mask to skip this step, but this error was appeared again. What should I do?

Hi,

Sorry to bother you frequently these days. An error occured after completing filtering  and before nomalization (normalize with DARTEL). The same error happened with Matlab version 2014a and 2013b. The whole lines in the command window are as below:

Dear Colleagues,

I.

Would it be possible to implement calculation of a network homogeniety in the context of ReHo..  How would you do that? Would you just calculate KCC [Kendall's coefficient concordance] for all voxels within a given mask? (say, if we use Yeo's parcellation of major brain networks). Could you please suggest a function/script I can look into?

II.

Hi

An error happened when I perform Bet using DPARSFA 4.1 . The Matlab command window gives some options to solve these problem, but I don't understand how to choose one  option and continue processing. It reads as below in the command window:

Dear DR YAN

Hi:

I want to make a gray matter mask with GM probabilities greater than 20%. I've found there are brainmasks in REST, but I don't know whether they are gray matter masks or whole brain masks and what interpolating thresholds  were used. Would you plese teach me how to make a Grey Matter mask by using REST or dpabi? Thanks a lot!

Hello,

I don't quite understand the conceptual difference between these outputs of the Functional Connectivity option. Both have as many rows as there are time points. Is it correct that "ROI_FCMap.txt" is the average correlation between the ROI and the rest of the brain at each time point and "ROISignals.txt" is the average activation of the ROI at every time point? Also are these numbers already z-transformed or not?

Thank you so much for your help!

Lisa